class_docstr: A :class:`TaskContext` with extra contextual info and tooling for tasks in a barrier stage.
  Use :func:`BarrierTaskContext.get` to obtain the barrier context for a running barrier task.
  
  .. versionadded:: 2.4.0
  
  Notes
  -----
  This API is experimental
  
  Examples
  --------
  Set a barrier, and execute it with RDD.
  
  >>> from pyspark import BarrierTaskContext
  >>> def block_and_do_something(itr):
  ...     taskcontext = BarrierTaskContext.get()
  ...     # Do something.
  ...
  ...     # Wait until all tasks finished.
  ...     taskcontext.barrier()
  ...
  ...     return itr
  ...
  >>> rdd = spark.sparkContext.parallelize([1])
  >>> rdd.barrier().mapPartitions(block_and_do_something).collect()
  [1]
docstr: Initialize :class:`BarrierTaskContext`, other methods within :class:`BarrierTaskContext`
  can only be called after BarrierTaskContext is initialized.
docstr_tok: ["Initialize",":","class",":","`","BarrierTaskContext","`",",","other","methods","within",":","class",":","`","BarrierTaskContext","`","can","only","be","called","after","BarrierTaskContext","is","initialized","."]
code: def _initialize(
      cls: Type["BarrierTaskContext"],
      port: Optional[Union[str, int]],
      secret: str,
  ) -> None:
      """
      Initialize :class:`BarrierTaskContext`, other methods within :class:`BarrierTaskContext`
      can only be called after BarrierTaskContext is initialized.
      """
      cls._port = port
      cls._secret = secret
  
imports: from typing import ClassVar, Type, Dict, List, Optional, Union, cast
  from pyspark.java_gateway import local_connect_and_auth
  from pyspark.resource import ResourceInformation
  from pyspark.serializers import read_int, write_int, write_with_length, UTF8Deserializer
  from pyspark.errors import PySparkRuntimeError
label_desc: Use image node_id 3 for calling the BarrierTaskContext obj's underlying member method code with example usage: obj._initialize(cls, port, secret) without return types